AI for Kubernetes Training Overview
As organizations increasingly adopt Kubernetes for container orchestration, the complexity of managing, diagnosing, and troubleshooting clusters has also grown. K8sGPT is a tool that leverages AI to simplify Kubernetes cluster management, providing actionable insights and automated diagnostics for faster resolution of infrastructure and application issues.
This one-day K8sGPT training class teaches IT professionals, DevOps engineers, and Kubernetes administrators how to use K8sGPT efficiently in their environments. By the end of the course, learners will be able to deploy, configure, and leverage K8sGPT to enhance cluster reliability, reduce downtime, and streamline incident response.
Location and Pricing
This course is taught as a private, live online class for teams of 3 or more. All our courses are hands-on, instructor-led, and tailored to fit your group’s goals and needs. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for online corporate training, please contact us.
In addition, some courses are available as live, instructor-led training from one of our partners.
Objectives
- Understand the role and benefits of K8sGPT in Kubernetes diagnostics and troubleshooting
- Install and configure K8sGPT within a Kubernetes cluster environment
- Explore K8sGPT’s diagnostic features and AI-driven insights for various cluster components (Pods, Services, Nodes)
- Identify and resolve common Kubernetes issues using K8sGPT troubleshooting capabilities
- Customize K8sGPT diagnostics, including setting parameters, thresholds, and notifications
- Integrate K8sGPT into DevOps and CI/CD workflows for continuous monitoring and automated issue detection
- Learn best practices for optimizing, securing, and scaling K8sGPT across multiple clusters
- Gain practical experience through hands-on labs and real-world case studies in Kubernetes cluster troubleshooting
Prerequisites
All learners must have taken Accelebrate's Introduction to Docker and Kubernetes or have equivalent knowledge.
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Outline
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Introduction to K8sGPT
- What is K8sGPT?
- K8sGPT use cases and benefits
- Key features: AI-powered troubleshooting, diagnostics, and remediation suggestions
- Real-world scenarios where K8sGPT is effective
Kubernetes Troubleshooting Recap
- Common issues in Kubernetes clusters
- Review of Kubernetes architecture (Nodes, Pods, Services, etc.)
- Diagnostic tools and methods commonly used
K8sGPT vs Traditional Tools
- Comparison with kubectl, kube-state-metrics, Prometheus, etc.
Installation and Configuration
- Installing K8sGPT in a Kubernetes cluster
- Configuring K8sGPT and integrating with Kubernetes
Connecting K8sGPT to Your Cluster
- Required permissions and access control
- Setting up role-based access control (RBAC) for K8sGPT
Exploring K8sGPT Diagnostic Features
- Using K8sGPT to detect issues in Pods, Services, and Nodes
- AI-driven insights for network, resource, and application-level issues
Customizing K8sGPT Diagnostics
- Configuring diagnostic parameters and thresholds
- Setting alerts and notifications
Integrating K8sGPT with CI/CD
- How to incorporate K8sGPT into DevOps workflows
- Using K8sGPT as part of continuous monitoring in production
K8sGPT Best Practices
- Optimizing performance and minimizing resource usage
- Keeping K8sGPT updated and secure
- Scaling K8sGPT across clusters
Threat Modeling
- Identifying potential threats and mitigations for a sample application
- Incorporating threat modeling insights into DevSecOps practices
Conclusion
Training Materials
All K8sGPT training attendees receive comprehensive courseware.
Software Requirements
A complete remote environment is included for each student with the class. You will need Internet access, a modern web browser, and an SSH client to access the environment.
